Research into formulaic language suggests that habitual ways of putting things mark speakers and writers out as belonging to certain speech (sub-)communities, such as academic vs. non-academic communities, L1 vs. L2 speaker communities or speech communities at different points in time. It has further been shown that individuals' phraseological habits can be distinctive enough to mark them out individually, such as when the expression I entirely understand is or was characteristic of Tony Blair (Mollin 2009). Interest has recently grown in bringing this observation to bear on the task of authorship attribution for disputed texts in forensic settings (Johnson and Wright 2014; Larner 2013), but the typical limits on the number available texts ...
My paper was well received by the attendees. In my session, I was the only whose paper attracted a g...
It is believed by many that our fingerprints are as unique as our DNA. Owing to the advances in mod...
AbstractElectronic texts from emails, social networks or mobile phones are currently of interest in ...
Research into formulaic language suggests that habitual ways of putting things mark speakers and wri...
Forensic authorship attribution is concerned with identifying authors of disputed or anonymous docum...
This research unites the theory of formulaic language—prefabricated sequences of words believed to b...
Previous research into formulaic language has focussed on specialised groups of people (e.g. L1 acqu...
For forty years linguists have talked about idiolect and the uniqueness of individual utterances. Th...
Forensic authorship attribution is concerned with identifying the writers of anonymous criminal docu...
The frequencies of individual words have been the mainstay of computer-assisted authorial attributio...
This dissertation goes into the new field from applied linguistics called forensic linguistics, whic...
Authorship attribution, i.e. task of revealing the author of a disputed text, is one of challenging ...
Formulaic sequences should make an excellent marker of style because if authors treat them as one le...
The goal of authorship attribution is to find a set of unconscious writing characteristics or style ...
Research that deals with linguistic text patterns is challenging because of the unstructured nature ...
My paper was well received by the attendees. In my session, I was the only whose paper attracted a g...
It is believed by many that our fingerprints are as unique as our DNA. Owing to the advances in mod...
AbstractElectronic texts from emails, social networks or mobile phones are currently of interest in ...
Research into formulaic language suggests that habitual ways of putting things mark speakers and wri...
Forensic authorship attribution is concerned with identifying authors of disputed or anonymous docum...
This research unites the theory of formulaic language—prefabricated sequences of words believed to b...
Previous research into formulaic language has focussed on specialised groups of people (e.g. L1 acqu...
For forty years linguists have talked about idiolect and the uniqueness of individual utterances. Th...
Forensic authorship attribution is concerned with identifying the writers of anonymous criminal docu...
The frequencies of individual words have been the mainstay of computer-assisted authorial attributio...
This dissertation goes into the new field from applied linguistics called forensic linguistics, whic...
Authorship attribution, i.e. task of revealing the author of a disputed text, is one of challenging ...
Formulaic sequences should make an excellent marker of style because if authors treat them as one le...
The goal of authorship attribution is to find a set of unconscious writing characteristics or style ...
Research that deals with linguistic text patterns is challenging because of the unstructured nature ...
My paper was well received by the attendees. In my session, I was the only whose paper attracted a g...
It is believed by many that our fingerprints are as unique as our DNA. Owing to the advances in mod...
AbstractElectronic texts from emails, social networks or mobile phones are currently of interest in ...